Record ID | marc_columbia/Columbia-extract-20221130-016.mrc:17227597:3922 |
Source | marc_columbia |
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LEADER: 03922cam a22003614a 4500
001 7568466
005 20221201011448.0
008 090623s2009 enka b 001 0 eng
010 $a 2009025912
020 $a9780470027622
020 $a0470027622
024 $a99935884443
035 $a(OCoLC)ocn424454743
035 $a(OCoLC)424454743
035 $a(NNC)7568466
035 $a7568466
040 $aDLC$cDLC$dBWKUK
050 00 $aZA3075$b.I55 2009
082 00 $a025.5/24$222
245 00 $aInformation retrieval :$bsearching in the 21st century /$c[edited by] Ayşe Göker, John Davies.
260 $aChichester, U.K. :$bWiley,$c2009.
300 $axxiii, 295 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references and index.
520 $a"This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users' needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21st Century focuses on core concepts, and current trends in the field. This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users' Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval. This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking"--Provided by publisher.
520 $a"The aim of this book is to provide a basis for understanding recent developments in the field and to outline directions for information search technologies. The text presents significant contributions to the research community and industry, covering topics such as the semantic search, natural language processing, parallel information retrieval, image and multimedia retrieval, text categorisation, context technology, cross-language retrieval, and mobile information services. The book is a balanced mixture of theory, practice, tools and applications"--Provided by publisher.
650 0 $aInformation retrieval.$0http://id.loc.gov/authorities/subjects/sh85066148
700 1 $aGoker, Ayse.$0http://id.loc.gov/authorities/names/n2009039016
700 1 $aDavies, J.$q(N. John)$0http://id.loc.gov/authorities/names/no98118108
856 42 $3Publisher description$uhttp://www.loc.gov/catdir/enhancements/fy0914/2009025912-d.html
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/enhancements/fy0914/2009025912-t.html
852 00 $bglx$hZA3075$i.I55 2009